iniconfig

差分空时传输分集的两篇重要文档仿真： 1. V. Tarkh and H. Jafarkhani, “A differential Detection scheme for transmit diversity,”；2. S. M. Alamouti, “A simple transmitter diversity scheme for wireless communications,” 。 关键词：差分；空时；协同；分集；MATLAB仿真(Differential space-time transmit diversity simulation two important documents: 1. V. Tarkh and H. Jafarkhani, " A differential Detection scheme for transmit diversity," 2. SM Alamouti, " A simple transmitter diversity scheme for wireless communications," . Keywords: Differential space-time Cooperative diversity MATLAB simulation)

帝国算法：初始化，帝国同化，帝国更新，帝国竞争，帝国删除。与粒子群算法比较(ICA social politic)

自己建立的clark变换模块，根据TI公司永磁电动机例程编写(clark transform model created by myself， based on TI s permanent magnet motor routine)

在小波去噪中，采用循环平移不变量去噪法，可以抑制Pseudo-Gibbs现象。(Wavelet de-noising, using cyclic shift invariant denoising method can suppress Pseudo-Gibbs phenomenon.)

MATLAB案例程序集锦，有助于新手入门学习，起辅助作用(Case Highlights MATLAB programto help beginners learn, play a supporting role)

采用wiener_HOLF方法实现的维纳滤波的过程，对加噪图形采用维纳滤波(wiener_holf method)

在Matlab中的图像哈希Toobox。 该hashingdemo执行一两个图像匹配自动测试演示了知觉。这是通过计算哈希做了两个图像的方法和比较向量中包含的哈希是一种有意义的图像(Matlab in image hash Toobox. A two images of the execution of the hashingdemo match the automatic test demo consciousness. This is done by calculating the hash hash contained in the method and comparison of the two images in the vector is a meaningful image)

fuzzy simulink for robot

系統鑑別指令.系統鑑別指令.系統鑑別指令(System commands to identify the system identification commands the system to identify instructions)

说明：  遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。（具有“生存+检测”的迭代过程的搜索算法）基于自然界“优胜劣汰，适者生存”的生物进化原理引入优化参数形成的编码串联群体中，按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选，使适应度值好的个体被保留，适应度差的个体被淘汰，新的群体既继承了上一代的信息，又优于上一代。反复循环，直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)